Geometry-based Calibration.
Image-based calibration is unfortunately not accurate enough to reconstruct good-quality mesh. Hence, we propose to take advantage of the depth information in a geometry-based calibration stage. We empirically verify that image-based calibration serves as a good initialization for geometry-based calibration. Hence, we randomly place stacked cubes inside the framework. After that, we convert captured depth maps to point clouds and apply multi-way ICP registration [1]} to refine the calibration.
